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Principal Data Scientist - Gen AI

Xometry· Data Science and Engineering
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Hybrid (Waltham, MA or North Bethesda, MD)$200k - $230kFull-timePosted 4mo ago

About the role

Principal Data Scientist to lead Generative AI initiatives, specializing in fine-tuning generative and language models, multimodal document understanding, and structured data extraction. Technical leader for high-stakes initiatives including DFM AI + IQE integration with Siemens; owns 12-24 month technical roadmap and drives cross-functional ML/AI programs.

Responsibilities

  • Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery; lead strategic planning and roadmap development for generative AI initiatives
  • Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing; focus on extracting structured data from technical drawings, purchasing orders, and other complex documents; train and fine-tune generative and language models
  • Provide technical leadership to the Generative AI team; set technical direction, define best practices, ensure adherence to industry standards in AI/ML development
  • Influence roadmaps, priorities, and resourcing of partner engineering, product, and business teams; collaborate with cross-functional teams to align solutions with business needs
  • Serve as the technical architect for the embedded DFM AI + IQE track; lead integration into Siemens ecosystem (Designcenter and Teamcenter); enable real-time manufacturability feedback and pricing via native 3D geometry
  • Design and implement data preparation, cleaning, and augmentation workflows; use cloud platforms (e.g., AWS) for large-scale data processing, model training, and deployment; iterate on model performance to improve accuracy and efficiency
  • Mentor scientists and engineers; stay updated with latest research in generative AI, deep learning, and multimodal data processing

Qualifications

  • Typically 10+ years of experience with a broad and deep portfolio of applied ML and data science work; or PhD with 6+ years of relevant experience
  • Bachelor’s degree required; advanced degree (MS or PhD) in CS, ML, AI, or related field highly preferred
  • Expert-level proficiency in Python and scientific computing; production-grade ML systems experience; proficient in Python libraries (PyTorch, TensorFlow, pandas, numpy)
  • Recognized depth in ML/statistical methodology; expertise in large-scale language and vision models (Transformers, GPT, VLMs) and multimodal data processing (text, image, 3D); strong background in probability, statistics, optimization for generative modeling
  • Ability to drive 18-24 month technical initiatives with organizational impact; familiarity with cloud resources for training/deployment (e.g., AWS SageMaker); understanding of software engineering principles (version control, reproducibility, CI)
  • Exceptional communication and ability to align executives and cross-functional partners around ambitious scientific directions
  • Domain experience in manufacturing, supply chain, or related industries is a plus

Skills

Required:Technical roadmap developmentGenerative AI model developmentCross-functional leadership

Benefits

  • 401(k) match
  • medical, dental and vision insurance
  • life and disability insurance
  • paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
  • employee assistance program (EAP) and wellbeing resources
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Xometry

Where Big Ideas Are Built | Production Parts and Prototypes | Xometry

Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.

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